Haoqiang Liu

According to our database, Haoqiang Liu authored at least 22 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Jointly Optimizing Deployment and Antenna of Base Stations Using Hierarchical Reinforcement Learning.

Weikang Su, Haoqiang Liu, Tong Li, Xingzai Lv, Hua Rui, Wenzhen Huang, Zhaocheng Wang, Yong Li

ACM Trans. Knowl. Discov. Data, January, 2026

Joint Energy-Efficient and Throughput Optimization in Large-Scale Mobile Networks via Safe Hierarchical MARL.

Haoqiang Liu, Tong Li, Wenzhen Huang, Dusit Niyato, Yong Li

IEEE Trans. Wirel. Commun., 2026

Coordinated Downlink Beamforming in Multi-Cell MIMO Networks: A Diffusion Model-Enhanced Multi-Agent Reinforcement Learning Perspective.

Haoqiang Liu, Huiming Chen, Wenzhen Huang, Zhaobin Wei, Yonghong Zeng, Hong Yan

IEEE Trans. Wirel. Commun., 2026

Federated User Self-Decision Mechanism for Coupled Electricity and Carbon Market Considering Differentiated Objectives of Heterogeneous DERs.

Zhaobin Wei, Huiming Chen, Haotang Li, Haoqiang Liu, Le Zhang, Jichun Liu, Alberto Borghetti, Hong Yan, C. C. Chan

IEEE Trans. Netw. Sci. Eng., 2026

Collaborative route optimization for efficient and constraint-aware express delivery using deep reinforcement learning.

Haoqiang Liu, Huiming Chen, Zhaobin Wei, Qi Shi, Wenzhen Huang, Witold Pedrycz

Neurocomputing, 2026

2025

Generative AI Empowered Network Digital Twins: Architecture, Technologies, and Applications.

Tong Li, Qingyue Long, Haoye Chai, Shiyuan Zhang, Fenyu Jiang, Haoqiang Liu, Wenzhen Huang, Depeng Jin, Yong Li

ACM Comput. Surv., June, 2025

Efficient Multi-User Resource Allocation for Urban Vehicular Edge Computing: A Hybrid Architecture Matching Approach.

Hongyang Xie, Haoqiang Liu, Huiming Chen, Shaohan Feng, Zhaobin Wei, Yonghong Zeng

IEEE Trans. Veh. Technol., January, 2025

Digital Twin Enhanced Multi-Agent Reinforcement Learning for Large-Scale Mobile Network Coverage Optimization.

Haoqiang Liu, Weikang Su, Tong Li, Wenzhen Huang, Yong Li

ACM Trans. Knowl. Discov. Data, January, 2025

Voltage Regulation Service Pricing in Cyber-Physical Distribution Networks With Multi-Dimensional Meteorological Uncertainties.

Zhaobin Wei, Zhenyu Huang, Zhiyuan Tang, Huiming Chen, Xianwang Zuo, Haotang Li, Haoqiang Liu, Jichun Liu, Alberto Borghetti

IEEE Trans. Netw. Sci. Eng., 2025

A Multi-modal dialogue emotion recognition framework based on D-GBA.

Haoqiang Liu, Hongmei Wang, Yuanhao Ma, Jianhui Chen, Xingyu Liu, Jiayi Wang

Proceedings of the 2025 4th International Conference on Artificial Intelligence and Education, 2025

2024

Coverage Optimization for Large-Scale Mobile Networks With Digital Twin and Multi-Agent Reinforcement Learning.

Haoqiang Liu, Tong Li, Fenyu Jiang, Weikang Su, Zhaocheng Wang

IEEE Trans. Wirel. Commun., December, 2024

Towards Efficient Task Offloading With Dependency Guarantees in Vehicular Edge Networks Through Distributed Deep Reinforcement Learning.

Haoqiang Liu, Wenzhen Huang, Dong In Kim, Sumei Sun, Yonghong Zeng, Shaohan Feng

IEEE Trans. Veh. Technol., September, 2024

Millimeter-Wave Radar for Short-Term Heart Rate Measurement Using Intelligent Singular Value Decomposition Noise Reduction Algorithm.

Wenjie Lv, Chang Liu, Haoqiang Liu, Shan Zhong, Hao Yang, Shaohan Feng

IEEE Trans. Instrum. Meas., 2024

2023

NeuroCrossover: An intelligent genetic locus selection scheme for genetic algorithm using reinforcement learning.

Haoqiang Liu, Zefang Zong, Yong Li, Depeng Jin

Appl. Soft Comput., October, 2023

Demo: Scalable Digital Twin System for Mobile Networks with Generative AI.

Jiahui Gong, Qiaohong Yu, Tong Li, Haoqiang Liu, Jun Zhang, Hangyu Fan, Depeng Jin, Yong Li

Proceedings of the 21st Annual International Conference on Mobile Systems, 2023

2022

LSTM-GAN-AE: A Promising Approach for Fault Diagnosis in Machine Health Monitoring.

Haoqiang Liu, Hongbo Zhao, Jiayue Wang, Shuai Yuan, Wenquan Feng

IEEE Trans. Instrum. Meas., 2022

A Distributed Vehicle-assisted Computation Offloading Scheme based on DRL in Vehicular Networks.

Jiayue Wang, Hongbo Zhao, Haoqiang Liu, Liwei Geng, Zebin Sun

Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021

A Distributed Dependency-Aware Offloading Scheme for Vehicular Edge Computing Based on Policy Gradient.

Haoqiang Liu, Hongbo Zhao, Liwei Geng, Yujie Wang, Wenquan Feng

Proceedings of the 8th IEEE International Conference on Cyber Security and Cloud Computing, 2021

Deep Reinforcement Learning-based Computation Offloading in Vehicular Networks.

Liwei Geng, Hongbo Zhao, Haoqiang Liu, Yujie Wang, Wenquan Feng, Lu Bai

Proceedings of the 8th IEEE International Conference on Cyber Security and Cloud Computing, 2021

2020

ReGra: Accelerating Graph Traversal Applications Using ReRAM With Lower Communication Cost.

Haoqiang Liu, Qiang-Sheng Hua, Hai Jin, Long Zheng

IEEE Access, 2020

A Policy Gradient Based Offloading Scheme with Dependency Guarantees for Vehicular Networks.

Haoqiang Liu, Hongbo Zhao, Liwei Geng, Wenquan Feng

Proceedings of the IEEE Globecom Workshops, 2020

2019

A Modified DAG-SVM Algorithm for the Fault Diagnosis in Satellite Communication System.

Xiubo Sun, Hongbo Zhao, Changbiao Lei, Haoqiang Liu, Guangxuan Zhu

Proceedings of the 28th Wireless and Optical Communications Conference, 2019